Senior Data Engineer
Toronto
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Equitable Bank
At Equitable Bank, we specialize in providing branchless financial services that meet the unique needs of all Canadians. Our range of mortgages, savings accounts and investment options are designed to offer the right solutions to match any...Being a traditional bank just isn’t our thing. We are big believers in innovating the banking experience because we believe Canadians deserve better options, and we challenge ourselves and our teams to creatively transform what’s possible in banking. Our team is made up of inquisitive and agile minds that find smarter ways of doing things. If you’re not afraid of taking on big challenges and redefining the future, you belong with us. You’ll get to work with people who will encourage you to reach new heights. We like to keep things fun, ask questions and learn together. We are a big (and growing!) family. Overall we serve more than 670,000 people across Canada through Equitable Bank, Canada's Challenger Bank™, and have been around for more than 50 years. Equitable Bank's wholly-owned subsidiary, Concentra Bank, supports credit unions across Canada that serve more than six million members. Together we have over $125 billion in combined assets under management and administration, with a clear mandate to drive change in Canadian banking to enrich people's lives. Our customers have named our EQ Bank digital platform (eqbank.ca) one of the top banks in Canada on the Forbes World's Best Banks list since 2021.
Equitable Interview
As we continue to scale our team, candidates selected for our comprehensive interview process may be considered for a different level — either higher or lower — based on their interview performance. This equitable hiring approach allows us to ensure that talented individuals from a variety of industries are set up for long-term success within EQB’s dynamic, growing environment. Our goal is to support candidates in building lasting careers, rather than relying solely on perceived experience. The hiring committee will thoughtfully assess each candidate’s skills and potential, and adjust the level of the role as needed to create the best possible fit.
The Work
The Senior Data Engineer, Digital Banking will be responsible for the development and maintenance of our Digital Banking data platform and provide on-going support for consumers of the Data platform. They will be working in a high performing team to design, build, and maintain data solutions on Microsoft Fabric. The candidate will be accountable for ensuring the integrity of data solutions and compliance with risk and governance policies. The ideal candidate will possess knowledge and experience in the development and management of data movement and processing solutions of structured and unstructured data in batch and near real-time.
The Core Responsibilities!
- Gather technical requirements, assess compatibility, and analyze findings to provide appropriate solutions.
- Design, develop, and maintain scalable data pipelines (batch and real-time) for data ingestion, processing, and transformation.
- Develop and maintain data storage solutions, ensuring efficient data retrieval and storage in data Lakehouse and Warehouses.
- Implement and maintain API integrations, including REST APIs, for seamless data flow between systems.
- Implement and ensure data security and privacy measures, complying with industry standards and regulations.
- Monitor and optimize the performance of systems and pipelines.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Troubleshoot and resolve data-related issues in a timely manner.
Let's Talk About You!
- Bachelor's degree or equivalent in the field of Computer Science or Engineering.
- 5+ years of proven experience as a Data Engineer, specifically working with Microsoft Azure technologies.
- Highly proficient in T-SQL, Pythonand Spark programming language.
- Hands-on experience with Microsoft cloud applications (ie. Azure, Synapse, Fabric, Event Hub) for Data Engineering.
- Solid understanding of data lakehouse and warehousing concepts and best practices.
- Experience with data modeling and reporting.
- Experience working with structured, semi-structured, and unstructured data.
- Excellent written and verbal communication skills.
- Excellent multi-tasking and organizational skills.
Nice to Have!
- Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert.
- Experience in DevOps pipelines and CI/CD.
- Experience in writing data quality routines for cleansing data.
- Experience working in the financial industry.
- Experience with Agile and Waterfall SDLC methodologies.
- Experience with Atlassian (Confluence and JIRA).
Job Complexities!
- The role of Senior Data Engineer is inherently dynamic and challenging, with each project presenting a unique set of complexities. Success in this role depends on the ability to navigate the varied data challenges and design scalable solutions. From adopting new technologies and tools to coming up with innovative solutions, each project is an adventure, highlighting how the job is always changing. Being flexible and open-minded is crucial for understanding the complexities of today’s data engineering.
Equitable Bank is deeply committed to inclusion. Our organization is stronger and our employees thrive when we honour and celebrate everyone’s diverse experiences and perspectives. In tandem with that commitment, we support and encourage our staff to grow not just in their career path, but personally as well.
We commit to providing a barrier-free recruitment process and work environment for all applicants. Please let us know of any accommodations needed so that you can bring your best self to the application process and beyond. All candidates considered for hire must successfully pass a criminal background check and credit check to qualify for hire. While we appreciate your interest in applying, an Equitable recruiter will only contact leading candidates whose skills and qualifications closely match the requirements of the position. We can’t wait to get to know you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Azure Banking CI/CD Computer Science Confluence Data pipelines Data quality DevOps Engineering Jira Pipelines Privacy SDLC Security Spark SQL T-SQL Unstructured data
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Salary bonus Team events
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